Abstract
In industries, induction motor drives are more popular due to their brushless structure, low cost, low maintenance, and robust performance. Direct Torque Control (DTC) drive performance gained more importance due to its fast dynamic response and simple control structure. In order to enhance the performance of the speed control of DTC drives, this paper implements different optimization techniques to tune the speed PI controller. The simulation is carried out using MATLAB, and the results of genetic algorithm, ant colony, harmony search, and firefly optimization process are compared for different speeds of the DTC drive, with respect to peak overshoot and settling time.
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Goel, N., Patel, R.N., Chacko, S. (2019). Comparative Analysis of DTC Induction Motor Drives with Firefly, Harmony Search, and Ant Colony Algorithms. In: Behera, H., Nayak, J., Naik, B., Abraham, A. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 711. Springer, Singapore. https://doi.org/10.1007/978-981-10-8055-5_68
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DOI: https://doi.org/10.1007/978-981-10-8055-5_68
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